Structural phase transitions in neural networks

DOI10.3934/MBE.2014.11.139zbMath1279.60124OpenAlexW2050967242WikidataQ47755870 ScholiaQ47755870MaRDI QIDQ395716

Tatyana S. Turova

Publication date: 30 January 2014

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2014.11.139

zbMATH Keywords

neural networksrandom graphsbootstrap percolationintegrate-and-fire neurons

Mathematics Subject Classification ID

Random graphs (graph-theoretic aspects) (05C80) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Percolation (82B43) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Cites Work

• Unnamed Item
• Unnamed Item
• Bootstrap percolation on the random graph \(G_{n,p}\)
• Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
• A model of neocortex

This page was built for publication: Structural phase transitions in neural networks